Husheng Guo — accepted AI-conference papers

2025

Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?

Wendong Zheng, Junyang Chen, Husheng Guo, Wenjian Wang

ICML 2025poster

Recently, the potential of lightweight models for resource-constrained scenarios has garnered significant attention, particularly in safety-critical tasks such as bio-electrical signal classification and B-ultrasound-assisted diagnostic. These tasks are frequently affected by environmental noise due…

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2025

Directional Label Diffusion Model for Learning from Noisy Labels

Senyu Hou, Gaoxia Jiang, Jia Zhang, Shangrong Yang, Husheng Guo, Yaqing Guo +1

CVPR 2025poster

In image classification, the label quality of training data critically influences model generalization, especially for deep neural networks (DNNs). Traditionally, learning from noisy labels (LNL) can improve the generalization of DNNs through complex architectures or a series of robust techniques, b…

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